ECG Data Analysis Using the Convolution of Mealy and Moore Automata

被引：0
|
作者：
Martuseviciene, A. [1 ]
Navickas, Z. [1 ]
Vainoras, A. [2 ]
机构：
[1] Kaunas Univ Technol, Dept Appl Math, LT-51368 Kaunas, Lithuania
[2] Kaunas Univ Med, Inst Cardiol, LT-3007 Kaunas, Lithuania
来源：
ELEKTRONIKA IR ELEKTROTECHNIKA | 2010年 / 04期
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A. Martuseviciene, Z. Navickas, A. Vainoras. ECG Data Analysis Using the Convolution of Mealy and Moore Automata // Electronics and Electrical Engineering. - Kaunas: Technologija, 2010. - No. 4(100). - P. 103-106. Clinical decision support systems are interactive computer programs. Most advanced of these systems are based on mathematical models. In this paper model of convolution of Mealy and Moore automata for real time ECG data analysis is introduced. The proposed model helps to effectively organize the feedback between current patient functional state and applied influence. Mathematical formalization of the system is also provided. III. 4, bibl. 6 (in English; abstracts in English, Russian and Lithuanian).
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页码：103 / 106
页数：4
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